Nonprofit medical device developer bridging research to clinical trials
huMannity Medtec is a nonprofit medical device manufacturer taking implantable and active medical technologies from prototype through first-in-human clinical studies. The stack—SolidWorks, AutoCAD, Altium Designer, MATLAB, C/C++, plus Python data tooling (pandas, NumPy, scikit-learn)—reflects a hardware-first org blending mechanical CAD with embedded systems and statistical analysis. Current hiring is director and principal-level in engineering and manufacturing, paired with active projects in pilot production scaling and regulatory submissions, suggesting they're moving devices out of development into manufacturing maturity.
huMannity Medtec (operating under The Alfred E. Mann Foundation for Scientific Research) develops medical technologies targeting undermet clinical needs—conditions with smaller patient populations or limited treatment options. Based in Valencia, CA, the 51–200-person nonprofit operates a full pipeline from concept through device prototyping, quality assurance, manufacturing, and regulatory strategy for clinical trials. Their work spans Class III implantable and active medical devices, with current focus on design transfer to pilot production, regulatory submissions in the US and internationally, and first-in-human study planning. The manufacturing footprint and cross-functional complexity around supplier integration reflect both internal production capability and contract manufacturing partnerships.
Engineering and design tools (SolidWorks, AutoCAD, Altium Designer, MATLAB, LTspice), embedded software (C/C++, Python), data analysis (pandas, NumPy, SciPy, scikit-learn), and project/testing infrastructure (Jira, Bitbucket, pytest, unittest).
Valencia, California. Founded in 1985, it operates as a nonprofit organization and is currently hiring within the United States.
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huMannity Medtec's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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